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Pricing carbon is often considered to be the cornerstone of any climate policy and, at least in economic theory, it is the only policy intervention required to reach an optimal level of mitigation. In practice, various market and behavioural failures, as well as political barriers, necessitate a policy mix that also encompasses policies to induce energy efficiency and stimulate the up-take of rene
The mzQuantML data standard was designed to capture the output of quantitative software in proteomics, to support submissions to public repositories, development of visualization software and pipeline/modular approaches. The standard is designed around a common core that can be extended to support particular types of technique through the release of semantic rules that are checked by validation so
It is often argued that anisogamy causes alternative reproductive tactics (ARTs) to be more common in males than females. We challenge this view by pointing out logical flaws in the argument. We then review recent work on the diversity of female ARTs, listing several understudied types such as solitary versus communal breeding and facultative parthenogenesis. We highlight an important difference b
Aim The aim of this study was to estimate healthcare cost and productivity losses as a result of diabetes and diabetes-related chronic complications in Sweden in 1987 and 2005. Research design and methods Published estimates on relative risks and Swedish age-specific diabetes-prevalence rates were used to calculate the proportions of diabetes-related chronic complications that are attributable to
This paper makes a case for using cost effectiveness (as opposed to efficiency) as key criterion when designing support policies for electricity generation from renewable energy sources in coexistence with an emissions trading scheme. Using the EU ETS and the German feed-in tariff system as examples, arguments against a stand-alone ETS are presented and necessary conditions for cost-effective supp
Nowadays, with the increasing complexity of System-on-Chip (SoC), traditional debugging approaches are not enough in multi-core architecture systems. Hardware tracing becomes necessary for performance analysis in these systems. The problem is that the size of collected trace data through hardware-based tracing techniques is usually extremely large due to the increasing complexity of System-on-Chip
Pathloss is typically modeled using a log-distance power law with a large-scale fading term that is log-normal. However, the received signal is affected by the dynamic range and noise floor of the measurement system used to sound the channel, which can cause measurement samples to be truncated or censored. If the information about the censored samples are not included in the estimation method, as
BACKGROUND: Understanding the role that urologic disease plays within central Haiti could lead to the development of sustainable and regionally appropriate urologic care. We aim to document the prevalence of urologic surgical disease presenting for treatment in central Haiti. METHODS: The present study is based on a retrospective review of surgical case logs at five Partners in Health and Zanmi La
BioMS is the national infrastructure for biological mass spectrometry (MS). BioMS offers access to qualified projects in proteogenomics, targeted protein quantitation, glycoproteomics, hydrogen-deuterium exchange MS, glycomics, lipidomics, and chemical proteomics. Detailed information and the project application forms can be found at www.bioms.se. BioMS is hosted by Lund University with support frBioMS is the national infrastructure for biological mass spectrometry (MS). BioMS offers access to qualified projects in proteogenomics, targeted protein quantitation, glycoproteomics, hydrogen-deuterium exchange MS, glycomics, lipidomics, and chemical proteomics. Detailed information and the project application forms can be found at www.bioms.se. BioMS is hosted by Lund University with support fr
This thesis aims to describe two most prominent cost accounting systems originated in Germany, Japan, and the U.S. respectively from the background, theoretical and empirical aspects, thereafter through comparison amongst the examined costing systems of the three chosen countries, bring about discussions on cost accounting practices in general as well as the development of cost accounting practice
The problem of estimating a spectral representation of damped sinusoidal signals from a gapped data set is of considerable interest in several applications. In this paper, we propose a filterbank approach to provide such an estimate, by first reconstructing the missing data samples assuming that the spectral content of the missing data is similar to that of the available samples, and then forming
In this thesis we predict web traffic intensity levels for 7 customers of a cybersecurity company. The models we predict with are a SARIMA model and a Temporal convolutional network. The quality of the predictions vary a lot between the different customers. The predictions improve when performed on data that is logged, demeaned and differenced.
Background: Recent research indicates a favourable influence of postmenopausal hormone therapy (HT) if initiated early, but not late, on subclinical atherosclerosis. However, the clinical relevance of timing of HT initiation for hard end points such as stroke remains to be determined. Further, no previous research has considered the timing of initiation of HT in relation to haemorrhagic stroke ris
Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of opportunities for healthcare transformation utilizing artificial intelligence algorithms. However, access to "real" healthcare data is a big challenge due to ethical and legal reasons. There is also a need to deal with challenges around electronic health records (EHRs) including biased, heterogeneity, i
Using microarray measurements techniques, it is possible to measure the activity of genes simultaneously across the whole genome. Since genes influence each others activity levels through complex regulatory networks, such gene expression measurements are state samples of a dynamical system. Gene expression data has proven useful for diagnosis and definition of disease subgroups, for inference of t
Data acquisition and integration are vital aspects of circular industrial initiatives and help industries develop balanced coordination with other stakeholders and commitment to circular standards. Small and medium-sized enterprises hesitate to implement the necessary automation and information collection process because of high investment issues. The dairy industry does have a growing need for pr
